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NCT07141342 · ClinicalTrials.gov registry record · NA

Fast In-Bed Tracking (FIT) System Lifestyle Intervention is a Clinical Trial of a Bed Scale Device. Overweight Wheelchair Users Will Participate in a Weight Loss Program, Half Will Receive Bed Scales, and Participants Who Receive the Bed Scales Are Expected to Have Increased Weight Loss.

A NA study of Disability Physical and Obesity & Overweight, sponsored by Jonathan Pearlman.

Recruiting
Registry status
NA
Development phase
92
Enrollment target
1
Study location

NCT07141342 is a NA study of Disability Physical and Obesity & Overweight that is actively recruiting participants, run by Jonathan Pearlman. The registered enrollment target is 92 participants, below the 152-participant average among 16 other Disability Physical trials with a reported enrollment target (39% lower). The trial reports 1 study location across 1 state.

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The verdict

NCT07141342, a NA study of Disability Physical and Obesity & Overweight, is actively recruiting participants, sponsored by Jonathan Pearlman.

RECRUITING
Registry status
NA
Development phase
92 participants
Enrollment target
1
Study location

Study Summary

This project will complete the final design and development steps to commercialize the Fast In-Bed Tracking (FIT) Platform, which is an e-Health and wellness Internet of Things (IoT) monitoring system that can be integrated into a user's bed and provide person-centered, real-world outcomes to support health and wellness. The technical feasibility of FIT was proven over the past several years and has demonstrated the platform can support the treatment of several chronic conditions across different populations, including obesity, congestive heart failure, and pressure injuries. The project goals will be to (1) complete design refinements for FIT and (2) demonstrate the platform's efficacy to support weight loss goals of wheelchair users. Wheelchair users are twice as likely as the general population to be overweight or obese and excess weight not only exacerbates mobility and participation limitations but increases risk for secondary health problems. Evidence reveals that frequent weight monitoring is a key driver for weight management, which puts wheelchair users at a significant disadvantage, because they have no convenient way to measure their body weight. As a recent example, lack of participant's ability to self-weigh was a noted limitation to a weight loss program for wheelchair users, known as the Group Lifestyle Balance weight loss program Adapted for Individuals with Impaired Mobility (GLB-AIM). FIT solves this challenge by passively monitoring a user's weight when they get on and off their bed. The investigators lab and community-based feasibility trials demonstrated that FIT successfully tracks weight for individuals and couples sharing a bed and that users find FIT highly usable. This proposed project will allow the investigators to complete the design refinements participants recommended during our community-based feasibility trial and subsequently examine the efficacy of FIT in supporting the weight-loss goals of community-dwelling wheelchair users throu

Interventions

  • DEVICE The Fast In-Bed Tracking System (FIT) Weight Scale
  • BEHAVIORAL Group Lifestyle Balance Adapted for Individuals with Impaired Mobility (GLB-AIM) intervention

Study Locations (1)

Pennsylvania

  • University of Pittsburgh, Bakery Square, Department of Rehabilitation Science and Technology - Pittsburgh

Trial Details

FieldValue
Enrollment Target 92 participants
Start Date 2026-02-16
Est. Completion 2027-09
Phase NA

Sponsor

Jonathan Pearlman

3 total trials

What the Registry Record Tells You About NCT07141342

The ClinicalTrials.gov registry entry for NCT07141342 describes a study currently listed as recruiting, categorized as NA. The registered enrollment target is 92 participants, a figure that helps gauge the scale of data the investigators plan to collect, below the 152-participant average among 16 other Disability Physical trials with a reported enrollment target (39% lower). The listed sponsor is Jonathan Pearlman, which has 3 total studies on file at ClinicalTrials.gov.

The record links to 3 conditions, with Disability Physical appearing as the primary indexed condition, and to 2 interventions - of which The Fast In-Bed Tracking System (FIT) Weight Scale is the first listed.

NCT07141342 reports 1 study location spanning 1 distinct geographic area - top geographies include Pennsylvania.

Frequently Asked Questions

What is clinical trial NCT07141342 about?

NCT07141342 is a clinical study titled "Fast In-Bed Tracking (FIT) System Lifestyle Intervention is a Clinical Trial of a Bed Scale Device. Overweight Wheelchair Users Will Participate in a Weight Loss Program, Half Will Receive Bed Scales, and Participants Who Receive the Bed Scales Are Expected to Have Increased Weight Loss.". This project will complete the final design and development steps to commercialize the Fast In-Bed Tracking (FIT) Platform, which is an e-Health and wellness Internet of Things (IoT) monitoring system that can be integrated into a user's bed and provide person-centered, real-world outcomes to suppor...

What is the current status of trial NCT07141342?

This trial is currently recruiting. It is a NA study. The enrollment target is 92 participants. The study started on 2026-02-16. Estimated completion is 2027-09.

What conditions does trial NCT07141342 study?

This clinical trial studies the following conditions: Disability Physical, Obesity & Overweight, Wheelchair.

What interventions are being tested in trial NCT07141342?

The interventions under investigation include: The Fast In-Bed Tracking System (FIT) Weight Scale (DEVICE), Group Lifestyle Balance Adapted for Individuals with Impaired Mobility (GLB-AIM) intervention (BEHAVIORAL).

Who is sponsoring clinical trial NCT07141342?

This trial is sponsored by Jonathan Pearlman, which has 3 total clinical trials registered on ClinicalTrials.gov.

Where is trial NCT07141342 being conducted?

This trial has 1 study location across Pennsylvania. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

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